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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import pandas as pd from sklearn.mo...
Course2week2/assignment2.ipynb
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Lee_3rd_class.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### Check Corona Vaccinations # * [this Notebook](h...
.ipynb_checkpoints/Check Corona Vaccination-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import json import os from typing import Any, Call...
TestScripts/TestSheet.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Mortgage Workflow # # ## The Dataset # The dataset...
mortgage/E2E.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + # file = open('HP1.txt').readlines() # all_text =...
assets/all_html/2019_11_01_HW2_summarization_big_lebo.ipynb
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C1/W3/ungraded_labs/C1_W3_Lab_2_exploring_convolutions.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: conda_pytorch_latest_p36 # language: python # name: conda_pytorch_latest_p36 # --- # %%capture # !pip in...
RUL_BiLSTM_N-CMAPSS_PL.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from lecture import * # # Introduction to programming...
lecture4/lecture.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:py35] # language: python # name: conda-env-py35-py # --- # <h1><div align="center">RNN...
RNN_Timeseries.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from influxdb import InfluxDBClient import pandas as p...
InfluxDB and Kmeans demo.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + # To Do: # Create a pip package for data cleaning ...
OOP.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + active="" # 给定一个由表示变量之间关系的字符串方程组成的数组,每个字符串方程 e...
Graph/1114/990. Satisfiability of Equality Equations.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import numpy as np from scipy.stat...
ks_statisticalTests.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### This notebook demonstrates the ability of the Di...
examples/demo_disparate_impact_remover.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from Stocks.StocksLoader import * from Stocks.BuilderS...
Stocks/Notebooks/PlotFutures.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # ResNet-50 Inference with FINN on Alveo # # This no...
host/Demo.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import torch import numpy as np import pandas as pd i...
notebooks/embeddings_insights.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + from keras.preprocessing.image import ImageDataGen...
.ipynb_checkpoints/Chars74K_Vgg16-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + colab={"base_uri": "https://localhost:8080/"} id="N1FxbCWI90Yo" outputId=...
Vine_Review_Analysis.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- import pandas as pd dict1 = { "name":...
concat_merge_join.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Final 241 # ## Introduction # As aspiring intell...
NEW.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + # %load_ext autoreload # %autoreload 2 # %aimport ...
notebooks/2.1.waves.16.01_lab_dist.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pickle import numpy as np import matplotlib.pyp...
benchmarking/a-vs-na_rmsd-diff.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ![Noteable.ac.uk Banner](https://github.com/jstix/mr...
GeneralExemplars/Coding Activities for Schools/National 4/if_Nat_4.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # 2019 Labour Day Analysis on Twitter # ### <EMAIL> ...
LabourDay2019.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # <hr>Metaprogramming<hr> # 0x01 # + from time impor...
Chapter09 - Full.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: capsule_kernel # language: python # name: capsule_kernel # --- # # Local Capsule Example Using Django # ...
notebooks/.ipynb_checkpoints/Capsule with Django-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.7 # language: python # name: python3 # --- # <a href="http://cocl.us/pytorch_link_top"> # <...
pyTorch-Week6-ConvMultipleInputOutputChannel.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Modelling # ### Pipeline # - import the data # - replace null values # - separate categorical and numerical # - convert target to binary|...
credit_default/notebooks/modelling/random_forest.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Now You Code 3: Final Grade in IST256 # # # Part 1...
content/lessons/04/Now-You-Code/NYC3-Final-Grade.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import Levenshtein # + ref = "We wanted people to kno...
wer_and_levenshtein.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # ! pwd # + from configparser import Co...
nb/create_project.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import spot spot.setup() # Let's build a small automa...
spot/tests/python/word.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # %matplotlib inline # %reload_ext autoreload # %autor...
fastai_NLA_nbs/PageRank.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:aiclub] # language: python # name: conda-env-aiclub-py # --- import numpy as np import...
2_DecisionTree/Scikit_DecisionTree.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### Apply the augmentation to the images and write t...
Image_create_augmentation.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .sh # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Bash # language: bash # name: bash # --- # # Download expression and phenotype data from BXD dataset # ...
BXD/1_Download_BXD_datasets.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="iCk3VFOhkgK2" # With the following script you can: # # 1. ...
Load_Display_Save.ipynb
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Airline_Satisfaction_Classification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Workflow example JVD # + # %matplotlib inline imp...
JupyterWorkflow.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="KxrhB-axNwCk" colab_type="code" outputId="1772323c-d8a1-445b-ebad-dea...
Project_457.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:dlnd] # language: python # name: conda-env-dlnd-py # --- # # Character Sequence to Seq...
seq2seq/sequence_to_sequence_implementation.ipynb
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AutoML_Vidushi.ipynb
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GradientDescent.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import datetime import random from fractions impor...
darwin.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Movie Recommendation Systems # + [markdown] id="v...
Movie Recommendation Systems/Movie Recommendation Systems.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Import data # + dataCols = [ 'Design with us...
notebook/data-processing.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # # Formulas & proofs for the Log-normal Distribution # > Supporting formulas for the Log-normal Distribution Post # # - toc: true # - badges...
_notebooks/2022-02-02-lognorm_formulas.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # # Test : cpp,cuda implementation really returns correct answer? # Let's com...
example/test_R.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # # %matplotlib inline # -*- coding: utf-8 -*- from __...
analiza_18-08-2016-gene.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] slideshow={"slide_type": "slide"} # # L...
meta.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Neutrophil Counts # # This code takes Neutrophil c...
Genetics/NeutrophilCounts.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] colab_type="text" id="nCc3XZEyG3XV" # L...
module3-permutation-boosting/LS_DS_233_assignment.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # 作業 # ### 用 digits (dataset.load_digits()) 資料嘗試跑 t-...
Day_061_HW.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (ds_env) # language: python # name: ds_env # --- # # GANs with non image data # # # - [<NAME>'s ...
archive/Keras_simple_GAN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # ## Fitting a diagonal covariance Gaussian mixture mo...
Week3/4_em-with-text-data.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # split str = "My name is pramit" li = str.split(' ',...
01.Python-Basics/10. Strings/07.Function-of-string.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] colab_type="text" # # The Sequential mo...
guides/ipynb/sequential_model.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Imperitive vs Functional # Lets compare how we co...
JupyterNotebooks/2019/Example - Imperative vs Functional.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # 10/06/21 # 0|1 # %matplotlib inline import matplotli...
Homework 8: Transformer, Independent Component Analysis, Variationall Autoencoder/VAE.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + #Author: <NAME> import pandas as pd # - df2 = pd...
Text_Emotion_Data_Exp/cleaned_merge.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import tensorflow as tf import os os.environ['TF_CPP...
Example- MNIST handwriting.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # + # %matplotlib inline from matplotlib import pyplo...
src/bryan analyses/Hack for Heat #5.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: ds # language: python # name: ds # --- import numpy as np import pandas as pd import geopandas as gpd im...
.ipynb_checkpoints/graphprep-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import os from meta.paths import PATH_TO_DATA, PATH_TO...
src/4. NN on image embeddings.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # - In Lesson 1, we played with Strings. A String is a...
Lesson2.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Density normalization: 1st step: ground-truth # # ...
jupyter/01_density_groundtruth.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Learning from Logged Bandit Feedbacks # # One of t...
Likelihood Agents.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [default] # language: python # name: python3 # --- # + from keras.preprocessing.image import Imag...
notebooks/Basic CNN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # https://pandas.pydata.org/docs/index.html import pa...
pandas/pandas.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # ## ALS/Matrix Factorization Collaborative Filtering ...
jupyterhub/notebooks/zz_under_construction/zz_old/Spark/ML/ALS Collaborative Filtering.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Introduction # This notebook provides everything ...
SwapTest.ipynb
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Random_forest_KNN.ipynb
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KNN Classifier/knn-classifier.ipynb
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notebooks/200-PaddleOCR/paddleOCR-demo-withLiveCam.ipynb
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.ipynb_checkpoints/ML_Equity_MPO-checkpoint.ipynb
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Matplotlib assignment.ipynb
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OrdinalNominalProcessing.ipynb
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concepts/Data Structures/05 Maps and Hashing/05 Pair-Sum-to-target.ipynb
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RBFnet_client.ipynb
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东南大学/D02机器学习与深度学习/Torch基础/02Tensor-05Tensor的创建函数与全局静态函数.ipynb
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Flask/Flask.ipynb
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Exploring Public Datasets/donorschoose/scripts/donorschoose_process_data.ipynb
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scripts/AI Notebooks/Copy of Voting classifier without dropping columns.ipynb
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courses/machine_learning/deepdive/05_review/3_tensorflow_dnn.ipynb
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Classification/Support Vector Machine/LinearSVC_Normalize.ipynb
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gremlin/glue-neptune/notebooks/step-3--incremental-import-from-mysql-to-neptune.ipynb
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cricket-and-coding.ipynb
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Nasa2021/Explore_model_building.ipynb
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notebooks/abundances_and_stars_PDF.ipynb
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Character Level Language Models/Dinosaur Naming/Dinosaur Island.ipynb
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pigeonXT_Examples.ipynb
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5_crab_pulsar_nebula_sed.ipynb
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simplest-dl-workflow/notebook.ipynb
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notebooks/model__logreg_model_2__2019-10-28.ipynb
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09_SkimLit_nlp_milestone_project_2.ipynb
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.ipynb_checkpoints/marissa-Copy1-checkpoint.ipynb
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sardis/.ipynb_checkpoints/example_diffimages-checkpoint.ipynb
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docs/ibm_cirq_superstaq.ipynb